code: def module_policy(
      self,
  ) -> Dict[Union[str, nn.Module], ModulePolicyDescription]:
      from transformers.models.vit.modeling_vit import (
          ViTEmbeddings,
          ViTLayer,
          ViTOutput,
          ViTSelfAttention,
      )
  
      policy = {}
  
      if self.shard_config.enable_sequence_parallelism:
          self.shard_config.enable_sequence_parallelism = False
          warnings.warn(
              "Vit dosen't support sequence parallelism now, will ignore the sequence parallelism flag."
          )
  
      if self.shard_config.enable_tensor_parallelism:
          policy[ViTEmbeddings] = ModulePolicyDescription(
              attribute_replacement={},
              param_replacement=[],
              sub_module_replacement=[
                  SubModuleReplacementDescription(
                      suffix="dropout",
                      target_module=DropoutForReplicatedInput,
                  )
              ],
          )
  
          policy[ViTLayer] = ModulePolicyDescription(
              attribute_replacement={
                  "attention.attention.num_attention_heads": self.model.config.num_attention_heads
                  // self.shard_config.tensor_parallel_size,
                  "attention.attention.all_head_size": self.model.config.hidden_size
                  // self.shard_config.tensor_parallel_size,
              },
              param_replacement=[],
              sub_module_replacement=[
                  SubModuleReplacementDescription(
                      suffix="attention.attention.query",
                      target_module=col_nn.Linear1D_Col,
                  ),
                  SubModuleReplacementDescription(
                      suffix="attention.attention.key",
                      target_module=col_nn.Linear1D_Col,
                  ),
                  SubModuleReplacementDescription(
                      suffix="attention.attention.value",
                      target_module=col_nn.Linear1D_Col,
                  ),
                  SubModuleReplacementDescription(
                      suffix="attention.attention.dropout",
                      target_module=col_nn.DropoutForParallelInput,
                  ),
                  SubModuleReplacementDescription(
                      suffix="attention.output.dense",
                      target_module=col_nn.Linear1D_Row,
                  ),
                  SubModuleReplacementDescription(
                      suffix="attention.output.dropout",
                      target_module=col_nn.DropoutForReplicatedInput,
                  ),
                  SubModuleReplacementDescription(
                      suffix="intermediate.dense",
                      target_module=col_nn.Linear1D_Col,
                  ),
                  SubModuleReplacementDescription(
                      suffix="output.dense",
                      target_module=col_nn.Linear1D_Row,
                  ),
                  SubModuleReplacementDescription(
                      suffix="output.dropout",
                      target_module=col_nn.DropoutForReplicatedInput,
                  ),
              ],
          )
  
      # use flash attention
      if self.shard_config.enable_flash_attention:
          self.append_or_create_method_replacement(
              description={
                  "forward": get_vit_flash_self_attention_forward(),
              },
              policy=policy,
              target_key=ViTSelfAttention,
          )
  
      # use jit fused operator
      if self.shard_config.enable_jit_fused:
          self.append_or_create_method_replacement(
              description={
                  "forward": get_jit_fused_vit_output_forward(),
                  "dropout_add": get_jit_fused_dropout_add_func(),
              },
              policy=policy,
              target_key=ViTOutput,
          )
      return policy
  
imports: import warnings
  from typing import Callable, Dict, List, Union
  import torch.nn
  import colossalai.shardformer.layer
  from colossalai.shardformer.layer import DropoutForReplicatedInput, Linear1D_Col
  from ..modeling.jit import get_jit_fused_dropout_add_func
  from ..modeling.vit import ViTForImageClassification_pipeline_forward, ViTForMaskedImageModeling_pipeline_forward, ViTModel_pipeline_forward, get_jit_fused_vit_output_forward, get_vit_flash_self_attention_forward
  from .base_policy import ModulePolicyDescription, Policy, SubModuleReplacementDescription
label_desc: Use image node_id 3 for calling the ViTPolicy obj's underlying member method code with example usage: obj.module_policy() and returns: policy